exp3corr

CNN（卷积神经网络） cuda的加速。 start-of-art结果的流行的数据集 1。测试mnist库并获得99.76 ,投票后(99.82 )(最好的99.79 ) 2。测试cifar-10并获得81.42 最好(90 ) 3。测试cifar - 100和51.13 (最好的65 )(CNN accelerated by cuda. The start-of-art result s of popular datasets 1. Test on mnist and get 99.76 , after voting(99.82 ) (best 99.79 ) 2. Test on cifar-10 and get 81.42 (best 90 ) 3. Test on cifar-100 and get 51.13 (best 65 ))

matlab关于微分方程的解法，只有这么多说明了(matlab on differential equations, and only so many shows)

MATLAB求解非线性最小二乘法拟合问题 源程序代码(MATLAB for solving nonlinear least-squares fitting of the source code)

1、试设计串连校正装置，在同一窗口下分别绘制出校正前后的频域响应曲线，阶跃响应曲线，判断系统校正前后的稳定性； 2、设计串连校正装置，在同一窗口下绘制出校正前后的波特图进行验证，并在同一窗口下绘制校正前后系统的奈奎斯特图； 3、设计串联滞后超前校正装置，绘制出校正前后系统的伯德图； 4、设计串联校正装置使校正后的闭环系统的主导极点； 5、设计串联校正装置，维持原系统的闭环主导极点基本不变； 6、设计状态反馈阵。(And try to design concatenation correction device, were drawn in the same window, the frequency response curve before and after correction, the stability of the step response curve, determine the system before and after correction design concatenation correction device, drawn in the same window Bode plots before and after a correction to verify, before and after correction system Nyquist diagram drawn in the same window 3 design series lag the leading correction device, drawn before and after correction system Bode plot design series correction The closed-loop system in the device so that the corrected the dominant pole design series correction device to maintain the original system closed-loop dominant pole is essentially the same 6, the design state feedback matrix.)

implement PRM to check collision robot and obstacle

利用Matlab的simulink实现对船舶的仿真(Simulink realization using Matlab for the simulation of ship)

it is a matlab file.it is used to do some basic rd in matlab.

人口灰色预测模型可以在数学建模中应用，预测人口数量的变化，灰常灰常灰常有用。(gm grey prediction may not be perfect but it s useful u know. used in mathmatical test for population prediction. very very useful)

Estimate maximum Doppler spread

小波与傅里叶变换在去噪方面的对比，表现出小波在保留细节等方面的优越性(Wavelet and Fourier transform in terms of denoising contrast, showing the details of wavelet, etc. to retain the advantages of)